5 papers
A Perception CNN for Facial Expression Recognition
Chunwei Tian, Jingyuan Xie, Lingjun Li +3
Convolutional neural networks (CNNs) can automatically learn data patterns to express face images for facial expression recognition (FER). However, they may ignore effect of facial…
Sustainable Self-evolution Adversarial Training
Wenxuan Wang, Chenglei Wang, Huihui Qi +4
With the wide application of deep neural network models in various computer vision tasks, there has been a proliferation of adversarial example generation strategies aimed at deepl…
DDF: A Novel Dual-Domain Image Fusion Strategy for Remote Sensing Image Semantic Segmentation with Unsupervised Domain Adaptation
Lingyan Ran, Lushuang Wang, Tao Zhuo +1
Semantic segmentation of remote sensing images is a challenging and hot issue due to the large amount of unlabeled data. Unsupervised domain adaptation (UDA) has proven to be advan…
Semi-Supervised Semantic Segmentation Based on Pseudo-Labels: A Survey
Lingyan Ran, Yali Li, Guoqiang Liang +1
Semantic segmentation is an important and popular research area in computer vision that focuses on classifying pixels in an image based on their semantics. However, supervised deep…
One-shot In-context Part Segmentation
Zhenqi Dai, Ting Liu, Xingxing Zhang +2
In this paper, we present the One-shot In-context Part Segmentation (OIParts) framework, designed to tackle the challenges of part segmentation by leveraging visual foundation mode…